如下所示：
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#include <Python.h>
#include <arrayobject.h>
#include "opencv2/imgcodecs.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/videoio.hpp"
#include <opencv2/highgui.hpp>
#include <opencv2/video.hpp>
#include "opencv2/video/background_segm.hpp"
//using namespace std;
int init_numpy() {
import_array();
}
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初始化：
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Py_SetPythonHome(L"D:\\Users\\Lenovo\\Anaconda3\\envs\\python35");
Py_Initialize();
init_numpy();
PyRun_SimpleString("import sys");
PyRun_SimpleString("sys.path.append('./')");
pModule = NULL;
pFunc = NULL;
pModule =PyImport_ImportModule("demo");
pFunc =PyObject_GetAttrString(pModule, "load_model");
PyEval_CallObject(pFunc,NULL);
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传输代码：
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cv::Mat img =cv::imread("d:\\1.jpg", CV_LOAD_IMAGE_COLOR);
int m, n;
n = img.cols *3;
m = img.rows;
unsigned char *data = (unsigned char*)malloc(sizeof(unsignedchar) * m * n);
int p = 0;
for (int i = 0; i < m;i++)
{
for (int j = 0; j < n; j++)
{
data[p]= img.at<unsignedchar>(i, j);
p++;
}
}
npy_intp Dims[2]= { m, n }; //给定维度信息
PyObject*PyArray = PyArray_SimpleNewFromData(2, Dims, NPY_UBYTE, data);
PyObject*ArgArray = PyTuple_New(1);
PyTuple_SetItem(ArgArray,0, PyArray);
PyObject *pDict= nullptr;
pDict =PyModule_GetDict(pModule);
PyObject*pFuncFive = PyDict_GetItemString(pDict, "load_image");
//PyObject_CallObject(pFuncFive, ArgArray);
PyObject*pReturn = PyObject_CallObject(pFuncFive, ArgArray);
int result;
PyArg_Parse(pReturn,"i", &result);
CString strtemp;
strtemp.Format(_T("%d"), result);
MessageBox(strtemp);
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Python部分：
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importcv2
import numpyas np
w=227
h=227
c=3
sess = None
def arrayreset(array):
# for i inrange(array.shape[1]/3):
# pass
a = array[:,0:len( array[0] -2 ):3]
b = array[:, 1:len( array[0] - 2 ):3]
c = array[:, 2:len( array[0] - 2 ):3]
a = a[:, :, None]
b = b[:, :, None]
c = c[:, :, None]
m = np.concatenate((a,b,c),axis=2)
return m
def load_model():
global sess
sess = tf.Session()
saver = tf.train.import_meta_graph( './model/model.ckpt.meta')
saver.restore( sess, tf.train.latest_checkpoint('./model/') )
def load_image(image):
img = arrayreset(image)
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其实还可以用imencode来解决：本文尚未完善
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Mat image = imread("d:\\11.jpeg", CV_LOAD_IMAGE_COLOR);
IplImage iplimage = image;
vector<uchar> buff;//buffer for coding
vector<int> param = vector<int>(2);
param[0] = CV_IMWRITE_JPEG_QUALITY;
param[1] = 95;//default(95) 0-100
imencode(".jpg", image, buff, param);
std::string str_encode(buff.begin(), buff.end());
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以上这篇c++ 调用python传输图片实例就是小编分享给大家的全部内容了，希望能给大家一个参考，也希望大家多多支持服务器之家。
原文链接：https://blog.csdn.net/jacke121/article/details/78574476